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首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >Resource flows and nutrient balances for crop and animal production in smallholder farming systems in eastern Uganda.
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Resource flows and nutrient balances for crop and animal production in smallholder farming systems in eastern Uganda.

机译:乌干达东部小农农业系统中用于农作物和动物生产的资源流和养分平衡。

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摘要

Resource flow models are useful tools that assist farmers in analysing their soil fertility management strategies and in planning, experimenting and adapting ways to improve the use of scarce local resources. Resource flows and farm nutrient balance studies were carried out in eastern Uganda to ascertain the movement of organic resources and nutrients in and out of the farm system during a participatory learning and action research (PLAR) process. The resource flows were transformed into nutrient flows and partial nutrient balances were calculated using the Resource Kit computer package. Results of a farmers' soil fertility management classification at the start of the PLAR intervention in 1999 revealed that 3% of the farmers were good soil fertility managers (class I), 10% were average soil fertility managers (class II) and 87% were poor soil fertility managers (class III). The results indicate that the net farm nutrient balances in kg ha-1 per season for all the nutrients [nitrogen (N), phosphorus (P), and potassium (K)] were negative for both the good and the poor soil fertility managers. Class I farm balances irrespective of the season, were however more negative than those of class 3 farms. For the long rains seasons (LR 2000, 2001 and 2002), the average net farm nutrient balances for N, P, and K for class I farms were -5.0, -0.6 and -8.0 kg ha-1 year-1, while for the short rains seasons (SR 2000 and 2001), the nutrient balances were -3.5, -0.5 and -6.0 kg ha-1 year-1, respectively. For the class III farms, the average net farm nutrient balances for N, P, and K in the long rain seasons (LR 2000, 2001 and 2002) were -3.3, -0.3 and -4.0 kg ha-1 year-1 while for the short rains seasons (SR 2000 and 2001), the nutrient balances were -3.5, 0.5 and -5.0 kg ha-1 year-1, respectively. Soil management interventions for these small-scale farmers should aim at reversing nutrient depletion with a focus on profitable management of the crop production system, which is the major cause of nutrient depletion..
机译:资源流模型是有用的工具,可帮助农民分析其土壤肥力管理策略以及规划,试验和调整方法,以改善稀缺本地资源的利用。在参与性学习和行动研究(PLAR)过程中,在乌干达东部进行了资源流动和农场养分平衡研究,以确定有机资源和养分在农场系统内外的流动。将资源流转换为养分流,并使用Resource Kit计算机软件包计算部分养分平衡。 1999年PLAR干预开始时对农民的土壤肥力管理分类的结果表明,3%的农民是良好的土壤肥力管理者(I类),10%是平均土壤肥力管理者(II类),87%是平均土壤肥力管理者。土壤肥力管理人员不佳(III类)。结果表明,所有土壤养分管理者的良好养分和不良养分管理者的所有养分[氮(N),磷(P)和钾(K)]的每季净农田养分平衡均以kg ha-1表示。不论季节如何,I类农场的收支平衡都比3类农场的负平衡大。对于长时间的降雨季节(LR 2000、2001和2002),I类农场的N,P和K的平均净养分净值为1年-5.0,-0.6和-8.0 kg ha-1,而第一年为-1.5在短雨季节(SR 2000和2001),养分平衡分别为-3.5,-0.5和-6.0 kg ha-1 year-1。对于III类农场,长期降雨季节(LR 2000、2001和2002)中N,P和K的平均农场养分净平衡为-3.3,-0.3和-4.0 kg ha-1 year-1,而对于在短雨季节(SR 2000和2001),养分平衡分别为-3.5、0.5和-5.0 kg ha-1 year-1。对这些小规模农民的土壤管理干预措施应着眼于逆转养分消耗,重点是对作物生产系统进行有利的管理,这是养分消耗的主要原因。

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